Sökning: "Multiple Logistic Regression"

Visar resultat 16 - 20 av 97 uppsatser innehållade orden Multiple Logistic Regression.

  1. 16. Credit Scoring Based on Behavioural Data

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Daniel Bouvin; Erik Hamberg; [2022]
    Nyckelord :Banking; Behavior; Behaviour; Credit Modelling; Klarna; Logistic Regression; Machine Learning; Neural Networks; Random Forests; XGBoost;

    Sammanfattning : Credit modelling has traditionally been done by credit institutes based on financial data about the individuals requesting the credit. While this has been sufficient in lowering risk in developed economies with plenty of financial data it is inefficient in developing economies and fails to reach the unbanked population. LÄS MER

  3. 17. Sex Life after Surviving Breast Cancer: Factors Influencing Sexual Dysfunction among Young Women

    Master-uppsats, Umeå universitet/Institutionen för psykologi

    Författare :Marianne Nilsson; Nicole Wisting; [2022]
    Nyckelord :breast cancer; sexual dysfunction; self-efficacy; sexuality; cancer treatment; young women; bröstcancer; sexuell dysfunktion; self-efficacy; sexualitet; cancerbehandling; unga kvinnor;

    Sammanfattning : Few studies focus on sexual dysfunction among young women diagnosed with breast cancer. The aim of this study was to examine prevalence of sexual dysfunction over time among this group and to identify factors associated with sexual dysfunction. LÄS MER

  4. 18. Comparative analysis for filtering toxic messages using machine learning models

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Mats-Hjalmar Murman; Jacob Lundin; [2022]
    Nyckelord :Machine learning; Regression; Classifier; Toxicity filter; API; Tensorflow; Scikit-learn; maskininlärning; regression; klassifiering; olämplighetsfilter; API; Tensorflow; Scikit-learn;

    Sammanfattning : Online communication has become prevalent within today’s society. The issue with such platforms is that people are allowed to express what they want without repercussion. Consequently, toxicity on these platforms becomes common. One approach to limit such inappropriate messages could be using a filtering method. LÄS MER

  5. 19. Tillgång till digital primärvård i Malmö kommun : Vårdutnyttjande av inomlänsbesök under covid-19-pandemin och Care Need Index / socioekonomisk status

    Master-uppsats, Mittuniversitetet/Institutionen för hälsovetenskaper (HOV)

    Författare :Jon Eriksson; [2022]
    Nyckelord :Health equity; health services accessibility; logistic regression; Sweden; telemedicine;

    Sammanfattning : Background: Digital primary care is expanding rapidly in Sweden and access is unevenly distributed and affected by socioeconomic status (SES) and digital exclusion. The COVID-19 pandemic further highlighted this problem as digital care removes risk of infection. LÄS MER

  7. 20. A comparison of machine learning algorithms in their ability to predict pancreatic cancer

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Arvid Eriksson; Jonathan Erikson; [2022]
    Nyckelord :;

    Sammanfattning : Pancreatic cancer is an uncommon but lethal disease which has no obvious biomarkers for its early stages. Machine learning has been used in order to predict the disease with limited success. Survey data has been of special interest due to its great size and accessibility. LÄS MER